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AI Coding and Custom Software for Businesses
AI Coding Is Changing the Build-vs-Buy Decision... But It Still Needs Proper Development Thinking
For years, businesses have faced the same awkward software decision: do we buy something off the shelf, or do we build something custom?
Buying is usually quicker, but it often means compromising. You adapt your business around the software rather than the other way round. Building gives you more control, but traditionally, it has been expensive, slow and difficult to justify unless the problem was big enough.
AI-assisted development is changing that equation.
Tools that can help generate, refactor and explain code have made custom software more accessible than it was even a few years ago. Some people call this “vibe coding”, describing what you want and letting AI produce the code. It is a slightly flippant phrase, but it points to something important: the barrier between an idea and a working prototype has dropped dramatically.
That does not mean businesses no longer need developers. Quite the opposite.
It means good developers, good planning and good technical judgement matter more than ever.
How We Got Here
Low-code and no-code tools have been around for years. They promised faster delivery by letting people build systems with less traditional programming. They were often dismissed by developers, but they clearly solved a real problem: businesses needed software faster than conventional development could always provide.
AI-assisted development takes that idea further.
Instead of dragging blocks around a screen, a developer can describe a feature, ask for a function, generate a first draft, test an approach, or explore different ways of solving a problem. The code is still real code. It still needs to run on servers, connect to databases, handle users, manage errors and protect data.
The difference is that some of the repetitive manual work can be accelerated.
That changes the economics of smaller software projects. Internal tools, customer portals, quoting systems, booking systems, reporting dashboards, workflow systems and CMS extensions can now become viable where previously the cost might have put them out of reach.
For a business like BarkWeb, this is a big shift.
We have always believed that websites and systems should fit the way a business actually works. AI gives us another way to deliver that faster, but only when it is used properly.
AI Can Help Build Faster — But It Does Not Know Your Business
The biggest mistake with AI coding is assuming that generating code is the hard part.
It often isn’t.
The hard part is understanding the business problem clearly enough to know what should be built in the first place.
A useful application is not just a collection of screens and buttons. It has to reflect how people actually work. It needs to understand roles, permissions, customer journeys, exceptions, edge cases, reporting requirements and the awkward real-world situations that never appear in a neat specification.
That is where experience matters.
AI can help write code, but it does not automatically know:
which features are genuinely useful
which processes are wasting time
where users are likely to get confused
how data should be structured
what should happen when something goes wrong
how the system will be maintained later
whether the finished product is commercially sensible
This is why AI-assisted development works best when it is guided by people who understand both business and software.
The Build-vs-Buy Decision Is Changing
Off-the-shelf software still has its place. In many cases, it is the right answer. Accounting, payroll, email marketing and many CRM systems are good examples where buying a mature product can make far more sense than building from scratch.
But there is a large middle ground where businesses often struggle.
They buy three or four different systems, connect them badly, export CSV files, copy data between platforms, and then invent manual workarounds because none of the tools quite fits.
This is where custom development can now become much more attractive.
AI-assisted coding can reduce the time needed to build certain types of software, especially when the project is well-scoped and the foundations are already in place. That means businesses can ask a better question:
“Do we really need to change the way we work to fit this software, or can we build something that fits us?”
The answer will not always be “build it”. But the option is becoming more realistic.
Four Things That Still Matter
AI changes the development process, but it does not remove the need for proper thinking. If anything, it makes the following areas more important.
1. Business Judgement
When software becomes quicker to produce, the danger is building too much.
Not every idea deserves to become an application. Not every internal frustration needs a new system. The key skill is knowing which problems are worth solving and which ones should be simplified, automated or removed entirely.
Good development starts with asking the right questions:
What is the cost of the current problem?
How often does it happen?
Who does it affect?
What would success look like?
Will the system save time, reduce errors, improve sales or create a better customer experience?
AI can help with delivery, but it cannot replace commercial judgement.
2. Infrastructure, Hosting and Support
Fast code generation does not remove the boring but essential parts of software.
The system still needs to be hosted somewhere. It still needs security, backups, monitoring, updates, database management, error handling and a clear release process. Someone still needs to know what happens if it breaks.
This is where a lot of AI-generated software will fall down.
It is one thing to create a quick demo. It is another thing entirely to run a reliable business application that people depend on every day.
At BarkWeb, this is where our wider experience matters. We are not just looking at the code. We are thinking about the full environment around it: hosting, performance, maintainability, security and support.
AI can speed up the build, but it does not remove responsibility.
3. Consistency and Maintainability
One challenge with AI-generated code is that the same request can produce different solutions. Two prompts can result in two pieces of code that both work, but follow completely different structures.
For a quick prototype, that may be fine.
For a live business system, it is not.
Code needs to be understandable, maintainable and consistent. It needs to follow patterns. It needs to fit the existing application. It needs to be reviewed by someone who knows what they are looking at.
Otherwise, businesses risk ending up with a collection of features that work individually but become difficult to support over time.
AI should be treated as an assistant, not an architect.
4. The Shape of the Team
AI will change how development teams work.
Developers may spend less time writing repetitive code and more time designing systems, reviewing output, testing logic, improving workflows and making sure the software fits the business.
For clients, this should be a positive thing. More effort can go into understanding the problem and refining the solution, rather than burning time on boilerplate code.
But it does require a different mindset.
The best results will come from teams that combine AI tools with proper project management, technical review, user experience thinking and long-term support.
What This Means for Businesses
For businesses, the opportunity is not simply “cheaper software”.
The real opportunity is better software decisions.
AI-assisted development makes it possible to explore ideas faster, prototype more affordably and build custom tools that previously may have been hard to justify. But the value only appears when those tools are connected to real business needs.
That could mean:
automating a repetitive admin process;
improving how leads are handled;
extending a website or CMS;
creating a customer portal;
building a quotation or booking system;
connecting separate systems together;
replacing spreadsheets with a proper workflow;
creating better reporting dashboards.
These are not vanity projects. They are practical improvements that can save time, reduce errors and make a business easier to run.
BarkWeb’s View
At BarkWeb, we see AI-assisted development as an evolution of what good web and software teams already do.
It is not about replacing developers. It is about giving experienced developers better tools.
The businesses that benefit most will not be the ones that simply chase the newest AI platform. They will be the ones that combine AI with clear thinking, good planning, reliable infrastructure and a proper understanding of how their business works.
AI can help us build faster.
But building the right thing still matters most.
